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Comparison · Analytics

glyclean vs glydraw

A side-by-side editorial comparison of glyclean and glydraw — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:glycomics

glyclean vs glydraw: at a glance

Featureglycleanglydraw
SectorAnalyticsAnalytics
Velocity score0.06.3
Sparks · 30d01
Top themesglycomics, preprocessing, imputation, normalizationglycomics, data-visualization, ggplot2, snfg
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is glyclean?

glyclean stopped trusting QC samples to choose its preprocessing strategy.

glyclean handles preprocessing and QC for glycomics and glycoproteomics data: filtering, imputation, normalization, batch correction, and compositional transforms. The defining change in this window is 0.14.0, which abandoned QC coefficient-of-variation heuristics for choosing imputation and normalization methods in favor of rules keyed to sample size. The 0.15.x releases then finished removing the deprecated QC arguments and moved the whole package onto glyexp's SummarizedExperiment containers.

Read the full glyclean trajectory →

What is glydraw?

SNFG glycan cartoons stopped being pictures and became ggplot2 geoms, guides and axis labels.

glydraw renders glycan structures as SNFG-standard cartoons, standalone or exported in bulk, and since 0.7.0 as native ggplot2 components: geom_glycan() for observations, geom_node_glycan() for ggraph networks, guide_glycan() for legends, and scale_x_glycan() and scale_y_glycan() for discrete axes. Appearance is configured through a single reusable style object rather than scattered arguments, a consolidation that 0.8.0 made breaking. The colour handling now expects a complete SNFG palette rather than sparse per-monosaccharide overrides.

Read the full glydraw trajectory →

glyclean vs glydraw: editorial side-by-side

G
glyclean
ANALYTICS
0.0

glyclean stopped trusting QC samples to choose its preprocessing strategy.

◆ Current state

glyclean handles preprocessing and QC for glycomics and glycoproteomics data: filtering, imputation, normalization, batch correction, and compositional transforms. The defining change in this window is 0.14.0, which abandoned QC coefficient-of-variation heuristics for choosing imputation and normalization methods in favor of rules keyed to sample size. The 0.15.x releases then finished removing the deprecated QC arguments and moved the whole package onto glyexp's SummarizedExperiment containers.

◆ Where it's heading

Two commitments are visible. First, defaults should be defensible rather than adaptive: the maintainer explicitly judged CV-in-QC-samples not robust and replaced it with sample-size thresholds. Second, the package wants containers, not matrices, and 0.15.0 makes bare matrix inputs an error. Dependency pruning runs alongside both, with imputeLCMD reimplemented away so auto_clean() works out of the box.

◆ Prediction

The compositional data thread is the least finished part of the package, so further CoDA methods or a broader auto_coda() are the likeliest next additions.

G
glydraw
ANALYTICS
6.3

SNFG glycan cartoons stopped being pictures and became ggplot2 geoms, guides and axis labels.

◆ Current state

glydraw renders glycan structures as SNFG-standard cartoons, standalone or exported in bulk, and since 0.7.0 as native ggplot2 components: geom_glycan() for observations, geom_node_glycan() for ggraph networks, guide_glycan() for legends, and scale_x_glycan() and scale_y_glycan() for discrete axes. Appearance is configured through a single reusable style object rather than scattered arguments, a consolidation that 0.8.0 made breaking. The colour handling now expects a complete SNFG palette rather than sparse per-monosaccharide overrides.

◆ Where it's heading

The first half of this record is geometry correctness, fixing branch spacing, overlapping linkage annotations, core fucose collisions, triangle alignment and nested side-chain layout, because a cartoon that draws the wrong topology is worse than no cartoon. Once the drawing was trustworthy the package moved outward into ggplot2 and then inward again to consolidate its own API, dropping the glyexp dependency, removing positional argument support, and folding rendering options into style_glydraw(). Each of the last several releases has been explicitly breaking, which is a maintainer using a pre-1.0 window deliberately.

◆ Prediction

With the style object established and the ggplot2 surface in place, the remaining explicit arguments, show_linkage and orient, are the visible inconsistency and may follow the others into the style. Sibling packages adopt each change within days, as glyenzy did with the new orientation values, so expect the next breaking change to propagate the same way.

Alternatives to glyclean and glydraw

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either glyclean or glydraw.

See all glyclean alternatives → · See all glydraw alternatives →

Recent activity from glyclean and glydraw

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 14d agoglydrawRendering options consolidated into a single style object
  2. 22d agoglydrawGlycan cartoons become ggplot2 geoms, legends and axis labels
  3. 1mo agoglycleanDocs recommend the new SE containers
  4. 1mo agoglycleanPreprocessing behaves the same across both containers
  5. 1mo agoglycleanMatrix inputs rejected; containers now required
  6. 1mo agoglydrawNested side-chain layout preserves residue order and linkage labels
  7. 1mo agoglydrawFucose triangle geometry aligned to rectangle node bounds
  8. 1mo agoglydrawCustom colours, fucose orientation and export scaling; glyexp dependency dropped
  9. 1mo agoglydrawSwitches to SNFG standard colours
  10. 3mo agoglycleanauto_clean() works without extra package installs
  11. 3mo agoglycleanImputation strategy now keyed to sample size, not QC
  12. 4mo agoglycleanCoDA transforms aligned with published methods

Frequently asked questions

What is the difference between glyclean and glydraw?

Both compete on the same themes — glycomics — within Analytics. glydraw is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is glyclean better than glydraw?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. glydraw is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to glyclean?

Top glyclean alternatives in Analytics are ranked by recent ship velocity. Browse the "glyclean alternatives" section above for the current picks, or visit /alternatives/glyclean for the full list with editorial commentary on each.

What are the best alternatives to glydraw?

Top glydraw alternatives in Analytics are ranked by recent ship velocity. Browse the "glydraw alternatives" section above for the current picks, or visit /alternatives/glydraw for the full list with editorial commentary on each.